The Electrical Cell-substrate Impedance Spectroscopy(ECIS) system is a method of measuring current flow by inserting cells into an sensor array. This measures at constant time intervals the impedance value that changes during a fixed time and observes using the graph.

The Electrical Cell-substrate Impedance Spectroscopy(ECIS) system is puts cells into an sensor array and measures at constant time intervals the impedance value that changes during a fixed time and observes them using a graph.

The ECIS system is a system for inserting cells into an ECIS sensor array, measuring impedance values that vary over a defined period of time, and observing them through a graph

In general, the equipment that constitutes the ECIS system required a large and heavy spherical oscilloscope and sensor array capable of measuring impedance values by inserting cells. Also, it needed with equipped a control dedicated program PC and a supplementary device for PC. This wastes space in most of the narrow and complex laboratories. Restriction that the user must be located in front of the PC in order to control and observe the experiment is disadvantageous when several people simultaneously monitor the results of the experiment. There is away to save space by mounting the input / output devices in the system, but this has the disadvantage of increasing system configuration cost.

The equipment that comprises the ECIS system requires a sensor array, a large, heavy oscilloscope, and a dedicated program PC to control it and an auxiliary device for the PC. This wastes space in complex laboratories. The constraints that require users to be in front of a PC for experiments are very inconvenient for the experimenter. While space can be saved by fitting the input / output device into the system, there are disadvantages of increasing system configuration costs.

The ECIS system consists of a sensor array, a large and heavy oscilloscope, and a dedicated program PC and ancillary equipment to control it. It wastes space in laboratory and also, the restriction that the user must be in front of the PC gives a lot of inconvenience to the experimenter. Although the device can be integrated to save space, there is a disadvantage in that the system configuration cost increases.

Recently, cloud computing and Internet of Things (IoT)technology continue to develop. This study suggest ECIS system which that cloud computing and IoT technology into the bio-experimental equipment makes it accessible and manageable from anywhere allows the user to observe the experiment conveniently without space constraints.

Recently, cloud computing and Internet of Things (IoT)technology continue to develop. In this study, we proposed unconstrained by space and experimenter condition ECIS system by introducing cloud computing and IoT technologies into biomedical equipment.

In this study, we propose ECIS system that incorporates cloud computing and IoT technology in bio experiment equipment.

The AFE consists of analog discovery2 with an array interface board, a sensor array (Applied Bio Physics, Inc., NY USA) and we chose a USB oscilloscope (Analog Discovery2, Digilent Inc., USA) that was commercialized as a signal generation and acquisition device considering performance, size and cost. To reduce the space occupied by PCs in the device control module, embedded devices with mini PCs (Zbox PI330, Zotac, China) were installed on the incubator. The AFE and Mini PC are connected by a USB cable, and the Mini PC requires an Ethernet cable and a power cable so that users can control or observe experimental equipment over the Web.

The AFE consists of a sensor array, an array interface board, and a commercially available USB oscilloscope for signal generation and acquisition in consideration of performance, size, and cost. In the device control module, an embedded device with a mini PC was installed in the incubator to reduce the space occupied by the PC. The AFE and Mini PC are connected via a USB cable and the Mini PC has an Ethernet and power cable added to allow users to control or observe the experiment equipment via the web.

The AFE consists of a sensor array, an array interface board and chosen a commercially available USB oscilloscope by consideration of performance, size and cost.In the device control module, an embedded device with a mini PC was installed in the incubator. The Mini PC adds an Ethernet cable to allow users to experiment with the web.

Users and control systems are not directly connected and deliver the desired data through the cloud database. Users access the web front end via a Jupiter laptop, an open source web application that allows them to modify or execute code in real time on smart devices and visualize data, and deliver commands to the Cloud Database. The control system continuously monitors the command and receives the experimental setup information when it verifies that the command changes. Normally, when the experiment begins, it communicates the device status information and measures the impedance data at the set time interval and stores it in the Cloud Database. Cloud Database used Google's Firebase.

Users and control systems are not directly connected and deliver the desired data through the cloud database. Users access the web front end via a Jupiter laptop, an open source web application that allows them to modify or execute in real time on smart devices and visualize data, and deliver commands to the Cloud Database. Cloud Database with experimental data used Google's Firebase.

Users and control systems provide the data they want through the cloud database. Users access the Web front end through an open source web application, Jupiter Laptop, that can modify or execute in real time, visualize data, and deliver commands. The Cloud Database with experimental data used Google's Firebase.

When a user passes commands to the cloud database via the Web front-end, the device control module receives commands and controls the AFE. Experimental data obtained through the AFE is stored in the Cloud Database again, and the user can take the data from the cloud and visually view the experiment results via the web.

When the user passes commands to the cloud database via the Web AFE, the device control module receives commands and controls the AFE. Experimental data obtained through the AFE is stored in the Cloud Database again, and the user can take the data from the cloud and visually view the experiment results via the web.

When a user commands a cloud database through a Web AFE, the device control module controls the AFE. The experimental data obtained through AFE is stored in the Cloud Database and the user can visually view the results of the experiment through the Web in the cloud.

Experiments have confirmed that the graph of the impedance values increases as the human embryonic kidney cells (HEK-293T) multiply and the electrode portion of the center of the sensor array is covered with cells.

Experiments have confirmed that the graph of the impedance values increases as the human embryonic kidney cells multiply and the electrode portion of the sensor array is covered with cells.

The experiment confirmed that the graph of the impedance value increases as human embryonic kidney cells proliferate.

conclusion

system 전체적 제안 conclusion

본 논문에서는 크기를 줄이고 비용을 낮춘 아날로그프론트엔드와 클라우드 데이터베이스로 구성된 ECIS 시스템을 제안한다.

본 논문에서는 크기와 비용이 감소 하고 사용자에게 편리한 ECIS 시스템을 제안한다.

This paper proposes an ECIS system consisting of analog front end and cloud database that has reduced size and cost. Using the latest USB oscilloscope, we reduced the size and cost of AFE.

In this paper, we propose convenience ECIS system for users within by reduced size and cost.

AFE conclusion

Using the latest USB oscilloscope, we reduced the size and cost of AFE

Using the USB oscilloscope, we have reduced the size and cost of the AFE.

By storing and managing data through the Cloud without using the Local Database, the input and output devices needed to view the data locally have been removed, making space efficient.Data is also reliably stored and shared in cloud databases, which has been shown to be useful for developing technologies or creating intelligent devices through further analysis.

By storing and managing data through the cloud without using a local database, we have shown that locally needed devices are remove and space can be used efficiently. Data has also been shown to be stored and shared reliably in the cloud database, making it useful for creating intelligent devices through technology development or further analysis.